As the wind energy is of stochastic in nature, the identification of wind energy potential is required before the establishment of wind control to find the best sites. This research enhanced to determine an adequate site suitable for the generation of electrical energy from wind sources: the one of the promising sustainable form of energy. In order to identify the optimal site, few cities have been selected from the East and Northeast regions of India such as Kolkata, Shillong, Guwahati, and Imphal. Several previous studies showed that Weibull distribution model associated with shape and scale parameters is an effective, simple, flexible and best statistical distribution method. Consequently, evaluating the exact and efficient parameters is imperative to get the best fit for the distribution. The Weibull parameters are estimated by utilizing four effective methods such as Moment of the method (MOM), Empirical method (EM), Power density method (PDM), and Maximum likelihood method (MLM). Simultaneously, a new approach namely energy variance method is presented which utilizes a non‐iterative method to find out the Weibull distribution parameter effectively. Therefore, the objective of the present work is to analyse the wind characteristics and assess wind energy potential of the four selected cities applying the above five estimation methods including the new approach of Weibull distribution model. Further, the comparative analysis of the four effective estimation methods with the proposed method has been done. The performance shows that the proposed Energy Variance Method is a potential tool for wind energy assessment. This method provides the least error in case of Guwahati and Kolkata stations while the maximum likelihood method and power density method show the least error in case of Shillong and Imphal station respectively. Finally, the assessment of four urban areas demonstrates that Kolkata is the best area took after Guwahati station for tackling wind control while Shillong station gives the minimum wind control potential.

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